Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная роль в компиляторной разработке сочетает актуальные задачи для AI и участие в open source, что даёт серьёзную техническую глубину и хороший карьерный потенциал.
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Передовой стекСфера AIПонятные задачиВклад в open source
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Compiler Engineer (Triton and DSLs): Designing, developing, and optimizing AI compiler technologies for Triton, domain-specific languages, and emerging AI programming models with an accent on LLVM, MLIR, code generation, and compiler optimization. Focus on building high-performance GPU kernels, integrating runtimes, enabling diverse hardware architectures, and improving developer productivity.
Location: Toronto, Canada; hybrid work model with time split between the assigned hirify.global site and off-site work.
Annual salary: CAD 114,890–162,190, depending on location and experience.
Company
hirify.global develops technology platforms and software for smart, connected devices, including AI and accelerator technologies.
What you will do
Design, implement, test, and debug compiler features for Triton, DSLs, and related programming models.
Develop compiler optimizations, analyses, and transformations to improve application performance and scalability.
Contribute to compiler front-end, middle-end, and code-generation technologies.
Collaborate with hardware architects, compiler engineers, and AI framework developers to enable new platform capabilities.
Contribute to open-source compiler projects and communities where appropriate.
Apply emerging technologies in compilers, AI software, and heterogeneous computing.
Requirements
Bachelor's degree in Computer Science, Applied Mathematics, Computer Engineering, Informatics, or a related technical discipline and 1+ years of experience; or a Master's degree and 0+ years of experience; or a PhD.
Strong programming experience in C++ and/or Python.
Strong problem-solving and debugging skills.
Familiarity with computer architecture, operating systems, or systems software concepts.
Interest in compiler technologies, programming languages, AI software, or performance optimization.
Nice to have
Experience with LLVM, MLIR, Triton, GCC, Clang, or similar compiler frameworks.
Experience with GPU programming models such as CUDA, OpenMP, SYCL, or HIP.
Knowledge of machine learning, AI frameworks, or high-performance computing applications.
Experience analyzing and optimizing software performance.
Experience contributing to open-source projects.
Culture & Benefits
Hybrid work model combining on-site and off-site work.
Opportunities to contribute to open-source compiler ecosystems.
Accessibility accommodations are available for applicants and employees with disabilities.
Employment practices comply with applicable Canadian laws and ethical hiring standards.
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